期刊
CEREBRAL CORTEX
卷 13, 期 11, 页码 1257-1269出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhg097
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资金
- NCRR NIH HHS [RR00166] Funding Source: Medline
- NEI NIH HHS [EY11378] Funding Source: Medline
- NIGMS NIH HHS [GM07108] Funding Source: Medline
- NATIONAL CENTER FOR RESEARCH RESOURCES [P51RR000166] Funding Source: NIH RePORTER
- NATIONAL EYE INSTITUTE [R01EY011378] Funding Source: NIH RePORTER
Decisions based on uncertain information may benefit from an accumulation of information over time. We asked whether such an accumulation process may underlie decisions about the direction of motion in a random dot kinetogram. To address this question we developed a computational model of the decision process using ensembles of neurons whose spiking activity mimics neurons recorded in the extrastriate visual cortex (area MT or V5) and a sensorimotor association area of the parietal lobe (area LIP). The model instantiates the hypothesis that neurons in sensorimotor association areas compute the time integral of sensory signals from the visual cortex, construed as evidence for or against a proposition, and that the decision is made when the integrated evidence reaches a threshold. The model explains a variety of behavioral and physiological measurements obtained from monkeys.
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